Exam AI-900 All QuestionsBrowse all questions from this exam
Go to Exam
Question 175

You have a dataset that contains the columns shown in the following table.

You have a machine learning model that predicts the value of ColumnE based on the other numeric columns.

Which type of model is this?

    Correct Answer: C

    This model is a regression model. Regression analysis is used to predict the value of a numeric dependent variable (in this case, ColumnE) based on one or more numeric independent variables (in this case, ColumnA, ColumnB, ColumnC, and ColumnD). The primary purpose of regression models is to understand the relationship between the dependent variable and the independent variables and to forecast the dependent variable based on the values of the independent variables.

Discussion
rdemontisOption: C

correct, numeric values typically means regression

alexein74Option: C

C. regression

XtraWestOption: C

predicts = regression

Retko

predict numeric = regression. Otherwise you always predict using ML. Even clustering is predicting to which groups entity falls.

zellckOption: C

C is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.